Research Advances in Management and Design of Forest Operations: 2nd Edition

A Special Issue of Forests (ISSN 1999-4907) belonging to the section "Forest Operations and Engineering".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2510

Editors


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Guest Editor
Department of Agricultural and Forest Sciences, University of Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy
Interests: forest utilizations; logging activities; reduced impact logging; sustainable forest management; forest restoration systems
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Special Issue Information

Dear Colleagues,

We are pleased to present this second edition of the Special Issue on “Research Advances in Management and Design of Forest Operations” (www.mdpi.com/journal/forests/special_issues/G6J8O38XAW) that follows on from the success of the first edition, which comprised nine articles. We look forward to receiving even more high-quality contributions in this edition.

Even as global megatrends and operational challenges push all sectors to work more efficiently and sustainably, forest management deserves greater attention as one of the most pressing challenges forest managers will continue to face is adapting management and operations to changing climatic conditions.

The concept of climate-smart forestry (CSF), a targeted strategy that aims to increase the climate benefits of forests and the forest sector in a synergistic way, has emerged in recent years. However, CSF cannot be achieved without the sustainable implementation of forest operations. In this context, it is essential to consider recent research, development, and innovation (RDI) that improves the cost efficiency, energy efficiency, and quality of wood-harvesting operations, long-distance transport, and forest road planning.

Rapid technological development, combined with increasing demand for wood and reduced access to labor, is driving significant advances in forestry machinery and systems. A clear example is Forest 4.0, which integrates advanced digital technologies such as artificial intelligence, the Internet of Things, blockchain, and big data analytics into forest management. The overarching goals of these developments are to optimize resource use, reduce waste, improve supply chain management, and strengthen decision-making through data-driven insights.

In this regard, we would like to create a compendium of research on the management and planning of forest operations that encompasses multiple perspectives on how to cope with changing climatic conditions and with the modern challenges that forest managers face. We invite both original research papers and literature reviews touching on the following topics:

  • Shaping sustainable forest operations in a changing climate;
  • Evaluation of the sustainability of forest operations from the perspective of the three pillars (economy, environment, and society);
  • Assessment of the environmental impacts related to forest operations and design of best management practices for mitigation of and/or adaptation to changing climate;
  • Innovative forest harvesting systems, technology, and techniques;
  • The role and potential of precision forestry (robotics, LIDAR, trafficability maps, etc.) in improving the sustainability of forest operations;
  • Environmentally friendly forest operations and reduced-impact logging (RIL);
  • How forest operations can be adjusted to preserve levels of biodiversity necessary to keep forests healthy and productive.

We encourage studies from all fields—including experimental studies, monitoring approaches, and models pertaining to silviculture and logging activities—as contributions to this Special Issue in order to promote knowledge and adaptation strategies for the active management, preservation, and future development of climate-smart forest operations.

Prof. Dr. Rodolfo Picchio
Dr. Francesco Latterini
Dr. Rachele Venanzi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate-smart forest operations
  • harvesting systems
  • sustainable forest management
  • best management practices
  • trafficability maps
  • reduced-impact logging (RIL) techniques

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Related Special Issue

Published Papers (4 papers)

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Research

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21 pages, 1929 KB  
Article
Purpose–Capability–Condition: A Three-Axis Framework for Comparing Forest-Road Classification Systems
by Sung-Min Choi
Forests 2026, 17(9), 1097; https://doi.org/10.3390/f17091097 - 15 Sep 2026
Viewed by 103
Abstract
Forest-road classification systems are not internationally aligned, and no common basis exists for comparing them. This study specifies a three-axis analytical framework—functional purpose, engineering capability and service condition—and applies it to the operative legislation, regulations and engineering manuals of six jurisdictions: Japan, the [...] Read more.
Forest-road classification systems are not internationally aligned, and no common basis exists for comparing them. This study specifies a three-axis analytical framework—functional purpose, engineering capability and service condition—and applies it to the operative legislation, regulations and engineering manuals of six jurisdictions: Japan, the United States, British Columbia (Canada), New Zealand, Sweden and the Republic of Korea. The framework is defined a priori; each jurisdiction was coded on eight dimensions and aggregated to the three axes. No universal numbered grade system was found; existing numbered categories are not equivalent. Functional purpose and engineering capability are each recorded as an independent road attribute in five of the six jurisdictions; service condition in only three. Where it is not, condition is not absent but held in a form that cannot be read off the road: Japan rates individual structures without carrying the rating on the road record, New Zealand derives maintenance priority from road class, and Korea logs repairs without recording a state. Capability and condition are interpretable only where verified over a complete route or a defined segment. The framework is a diagnostic instrument rather than a classification system, demonstrated here for the Republic of Korea. Full article
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26 pages, 15917 KB  
Article
Urban Forest Walkway Landscape Types and Psychological Restoration Among Older Adults: Evidence from Three Representative Walkways in Fuzhou, China
by Yuebin Lin, Yan Ke, Xiang Ji, Shulin Chen and Shuangjiao Cai
Forests 2026, 17(8), 872; https://doi.org/10.3390/f17080872 - 26 Jul 2026
Viewed by 392
Abstract
Urban forest walkways provide accessible forest recreation opportunities within cities, but little is known about how different walkway landscape environments are associated with older adults’ perceived psychological restoration. This study examined three representative urban forest walkways in Fuzhou, China, by integrating image-based landscape [...] Read more.
Urban forest walkways provide accessible forest recreation opportunities within cities, but little is known about how different walkway landscape environments are associated with older adults’ perceived psychological restoration. This study examined three representative urban forest walkways in Fuzhou, China, by integrating image-based landscape classification with photo-elicitation questionnaires. A total of 1188 field photographs were collected, of which 963 valid images were used for landscape analysis. A SegNet-based semantic segmentation model was used to extract major landscape elements, and the images were subsequently classified into four landscape environment types. Questionnaire data were obtained from 415 older walkway users, generating 4980 respondent–image evaluation records. The SegNet model achieved a mean IoU of 79.4%. The high-naturalness canopy-immersive type received the highest scores for tranquillity, refuge, naturalness, landscape preference, and perceived psychological restoration, whereas the semi-open viewing-platform type showed the highest spaciousness and prospect scores. Landscape preference was positively associated with perceived psychological restoration in the mixed-effects model and partially mediated the associations between selected perceived landscape attributes and perceived psychological restoration. These findings suggest that age-friendly urban forest walkway design should maintain canopy immersion, provide semi-open viewing nodes, improve resting and interaction spaces, and refine forest-edge urban-interface sections. Full article
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30 pages, 5100 KB  
Article
A GIS–AHP-Based Spatial Decision Support System for Optimising Harvesting and Wood System Selection in the Chestnut Coppice Stands of Central Italy
by Aurora Bonaudo, Rodolfo Picchio, Rachele Venanzi, Luca Cozzolino and Francesco Latterini
Forests 2026, 17(3), 382; https://doi.org/10.3390/f17030382 - 19 Mar 2026
Cited by 1 | Viewed by 980
Abstract
Sustainable forest operations require operational planning tools that effectively integrate productivity, environmental conservation, and social acceptability, particularly within complex and environmentally sensitive forest systems. In Mediterranean small-scale forestry, harvesting decisions are frequently guided by expert judgment rather than by systematic and transparent planning [...] Read more.
Sustainable forest operations require operational planning tools that effectively integrate productivity, environmental conservation, and social acceptability, particularly within complex and environmentally sensitive forest systems. In Mediterranean small-scale forestry, harvesting decisions are frequently guided by expert judgment rather than by systematic and transparent planning frameworks. This reliance on subjective decision making can result in heterogeneous management practices and, in some cases, suboptimal operational outcomes. This study aims to validate a GIS-based Analytic Hierarchy Process (GIS–AHP) decision support system for the selection of harvesting and wood systems in the chestnut coppices of central Italy and to assess the robustness of its recommendations when expert judgments are provided by different stakeholder groups. The methodology integrates spatial data and multi-criteria analysis to evaluate the suitability of three extraction systems (forwarder, cable skidder, and cable yarder) and three wood systems (Cut-To-Length, Whole-Tree Harvesting, and Tree-Length) across 162 Forest Management Units (1332.5 ha), using weights elicited from four stakeholder categories (researchers, technicians, forest owners, and workers; n = 144). Results show statistically significant differences in mean suitability values among stakeholder groups for all systems; however, convergence at the operational decision level is high. The cable skidder is recommended over 94%–100% of the area depending on the stakeholder category, with full agreement among all groups in 87.7% of the Forest Management Units. For wood systems, Whole-Tree Harvesting is selected over 96.1% of the analysed area, with agreement in 95.1% of the Forest Management Units. Divergences are therefore limited and attributable to differences in AHP weighting structures. Overall, the findings demonstrate that the GIS–AHP approach provides stable and transferable recommendations despite variability in expert perspectives, supporting its applicability as a transparent and robust decision support tool for operational planning in chestnut coppices and similar Mediterranean forest systems. Full article
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Review

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36 pages, 3134 KB  
Review
AI-Assisted Selective Harvesting and Smart Forest Management: A State-of-the-Art Review of Multimodal Sensing and Decision-Support Approaches
by Janis Peksa
Forests 2026, 17(7), 840; https://doi.org/10.3390/f17070840 - 16 Jul 2026
Viewed by 494
Abstract
Selective harvesting requires tree-level decisions that balance operational productivity, stand development, and sustainable forest management, yet current AI and sensing studies often remain fragmented across remote sensing, machine perception, optimization, and forestry domains. This review synthesizes research on AI-assisted selective harvesting and smart [...] Read more.
Selective harvesting requires tree-level decisions that balance operational productivity, stand development, and sustainable forest management, yet current AI and sensing studies often remain fragmented across remote sensing, machine perception, optimization, and forestry domains. This review synthesizes research on AI-assisted selective harvesting and smart forest management, with emphasis on multimodal sensing, decision support, and harvester-oriented deployment. A PRISMA-informed scoping review was conducted using Scopus, Web of Science Core Collection, IEEE Xplore, ScienceDirect, and SpringerLink, resulting in 82 studies retained for qualitative synthesis. The reviewed literature was organized into eight thematic groups covering smart forestry, harvesting operations, RGB-based perception, LiDAR and point-cloud processing, multimodal fusion, edge deployment, decision-support systems, and forecasting-oriented digital forestry. The analysis shows that RGB imaging provides semantic tree recognition, LiDAR enables spatial localization and structural assessment, and decision-support methods can translate tree-level observations into transparent cut/keep recommendations. However, integrated harvester-mounted systems remain underdeveloped, particularly regarding real-time RGB–LiDAR fusion, operator-facing recommendations, and forecasting integration. This review proposes a reference architecture for human-in-the-loop AI-assisted selective harvesting and identifies future research priorities for field validation and smart forest-management integration. Full article
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